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10/24/2022
: Learning Galaxy Properties from Merger Trees
Efficiently mapping baryonic properties onto dark matter is a major chal...
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03/14/2022
Accelerated Bayesian SED Modeling using Amortized Neural Posterior Estimation
State-of-the-art spectral energy distribution (SED) analyses use a Bayes...
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09/27/2021
Graph Neural Network-based Resource Allocation Strategies for Multi-Object Spectroscopy
Resource allocation problems are often approached with linear programmin...
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06/17/2021
Unsupervised Resource Allocation with Graph Neural Networks
We present an approach for maximizing a global utility function by learn...
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10/29/2020
deep21: a Deep Learning Method for 21cm Foreground Removal
We seek to remove foreground contaminants from 21cm intensity mapping ob...
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12/09/2019
Hybrid Physical-Deep Learning Model for Astronomical Inverse Problems
We present a Bayesian machine learning architecture that combines a phys...
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05/01/2018
